Multimedia Forensics (Hardcover, 1st ed. 2022)

This book is open access. Media forensics has never been more relevant to societal life. Not only media content represents an ever-increasing share of the data traveling on the net and the preferred communications means for most users, it has also become integral part of most innovative applications in the digital information ecosystem that serves various sectors of society, from the entertainment, to journalism, to politics. Undoubtedly, the advances in deep learning and computational imaging contributed significantly to this outcome. The underlying technologies that drive this trend, however, also pose a profound challenge in establishing trust in what we see, hear, and read, and make media content the preferred target of malicious attacks. In this new threat landscape powered by innovative imaging technologies and sophisticated tools, based on autoencoders and generative adversarial networks, this book fills an important gap. It presents a comprehensive review of state-of-the-art forensics capabilities that relate to media attribution, integrity and authenticity verification, and counter forensics. Its content is developed to provide practitioners, researchers, photo and video enthusiasts, and students a holistic view of the field.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Advances in Computer Vision and Pattern Recognition
Release date:	April 2022
First published:	2022
Editors:	Husrev Taha Sencar • Luisa Verdoliva • Nasir Memon
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	490
Edition:	1st ed. 2022
ISBN-13:	978-981-16-7620-8
Categories:	Books > Computing & IT > Computer communications & networking > Network security Books > Computing & IT > Applications of computing > Signal processing Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	981-16-7620-8
Barcode:	9789811676208

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